Sr. AI Voice Engineer

This role involves working with state-of-the-art speech recognition, speech synthesis, voice streaming, and AI agent frameworks to create scalable voice solutions for customer service, sales, finance, and automation applications. This is an on-site position with no relocation assistance provided. If you're passionate about conversational AI and enjoy solving challenging engineering problems, we'd love to hear from you. ResponsibilitiesDesign and develop real-time voice-to-voice AI agents.Build conversational AI systems using LLMs and agent frameworks.Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies into production applications.Optimize latency and streaming performance for natural conversations.Develop backend services and APIs using Python and C#/.NET.Integrate with telephony, voice streaming, and communication platforms.Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows.Collaborate with product managers, AI engineers, and software developers to deliver production-ready AI solutions.Evaluate emerging AI models, speech technologies, and voice platforms.Monitor, troubleshoot, and continuously improve voice agent performance and reliability. Required Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.5+ years of professional software engineering experience.Hands-on experience building voice-to-voice AI applications.Strong understanding of:Speech Recognition (Automatic Speech Recognition - ASR)Speech Synthesis (Text-to-Speech - TTS)Voice Activity Detection (VAD)Audio streaming and low-latency communicationProfessional experience with Python and C#/.NET.Experience consuming AI APIs and working with LLMs.Experience building REST APIs and microservices.Knowledge of asynchronous programming, event-driven architectures, and real-time streaming.Strong debugging, analytical, and problem-solving skills. Preferred Qualifications Experience with one or more of the following: Real-time conversational AI platformsAI agent frameworksRetrieval-Augmented Generation (RAG)Vector databasesPrompt engineering and evaluationWebRTC, SIP, RTP, or telephony integrationsAzure AI, Azure OpenAI, or other cloud AI servicesDocker and Kubernetes CI/CD pipelines and cloud-native application development